Country Conditions Research for Asylum Cases: Why It Takes So Long and What Can Be Done

Country conditions research is the most time-intensive part of asylum case preparation. Attorneys and paralegals spend 15-50+ hours per case searching across scattered government databases, international human rights organizations, and NGO reports to find evidence that substantiates their client's specific persecution claims.

The scale of the problem: Country conditions research requires searching 10+ scattered sources (State Department reports, UNHCR Refworld, Amnesty International, Human Rights Watch, Freedom House, and more) to find evidence specific to each client's persecution claims. AI grounded in these primary sources can reduce that search from weeks to minutes.

The work is critical. Country conditions evidence often determines whether a case succeeds or fails. But the process of finding that evidence hasn't changed in decades, even as the number of sources has grown and the stakes have intensified.

What country conditions research actually involves

An asylum applicant must demonstrate that their fear of persecution is objectively reasonable. To do this, the attorney assembles a country conditions packet (a compiled set of reports, articles, and documentation showing that the type of harm the client experienced or fears is documented in their country of origin).

This isn't a single Google search. The attorney needs to find evidence specific to their client's claims. If the client is a political dissident from Venezuela, the attorney needs reports documenting political persecution in Venezuela, not general country information, but evidence that people in their client's specific situation face the kind of harm they're claiming.

The standard sources attorneys are expected to search include:

U.S. State Department Country Reports on Human Rights Practices: the primary source that asylum officers and ICE attorneys rely on. Published annually, covering every country. These reports are comprehensive but finding the relevant sections for a specific claim means reading through dozens of pages per country.

UNHCR Refworld: the largest single repository of refugee and human rights documentation. Over 167,000 documents including eligibility guidelines, country reports, and legal analysis. Essential but difficult to search efficiently.

Amnesty International and Human Rights Watch annual reports: covering human rights conditions globally with specific incident documentation.

Freedom House Freedom in the World reports: political rights and civil liberties ratings with narrative analysis.

UN OHCHR Universal Human Rights Index: a massive dataset of UN human rights body recommendations and observations.

State Department International Religious Freedom Reports and Trafficking in Persons Reports: essential for claims involving religious persecution or trafficking.

Country-specific NGOs, media sources, and expert declarations: for claims that fall outside what the major international organizations cover.

Law school research guides from Villanova, UC Law SF, Minnesota, Drake, and others each list 20-40+ distinct sources. The fragmentation is the problem. There's no single place to search across all of them.

Why it takes so long

Three factors drive the time burden:

Source fragmentation. The evidence is spread across 10+ organizations, each with their own website, search interface, document format, and update schedule. An attorney might find a relevant State Department report, then need to cross-reference it with UNHCR documentation, then look for corroborating NGO reports, each requiring a separate search on a separate website.

Specificity requirements. Generic country information isn't enough. The evidence must address the specific type of persecution the client experienced: political opinion, religion, particular social group, ethnicity, nationality. A report that discusses "human rights in Uganda" broadly isn't as useful as a report specifically documenting "persecution of LGBTQ individuals in Uganda." Finding that specific evidence means digging deep into long reports, often reading dozens of pages to locate the relevant sections.

Volume and currency. Country conditions change. A report from 2019 may not reflect conditions in 2025. Attorneys need the most recent documentation available, which means checking every source for updates, comparing current and historical reports, and ensuring the evidence packet reflects current conditions at the time of the hearing. Reports also need to be updated before every hearing. Conditions that were safe six months ago may have deteriorated.

The result: assembling a thorough, well-cited country conditions packet for a single asylum case takes 15-30 hours for straightforward cases and 50+ hours for complex ones. Multiply that across a caseload, and country conditions research consumes a significant percentage of an immigration firm's total working hours.

What happens when attorneys use general-purpose AI

Many attorneys have turned to ChatGPT or Copilot to speed up this research. The results are dangerous.

General-purpose AI tools don't search primary human rights sources. They search the internet (law firm blogs, news articles, Wikipedia summaries) and generate plausible-sounding answers. They don't cite specific reports with page numbers. They can't link to the original document. And they fabricate sources.

EOIR Policy Memo PM 25-40, issued in August 2025, specifically warns that practitioners who submit "hallucinated or erroneous AI-generated content" face discipline. The memo was prompted by documented cases of attorneys submitting AI-fabricated legal citations. For country conditions evidence, which immigration judges rely on heavily, a fabricated or inaccurate source undermines the entire case.

The problem isn't that AI can't help with country conditions research. The problem is that general-purpose AI isn't connected to the actual source material.

What source-grounded AI can do

We built a country conditions research tool specifically to solve this problem. The approach is different from general-purpose AI in one fundamental way: the system searches a corpus of actual primary human rights sources, not the internet.

The tool's database includes State Department Human Rights Reports, International Religious Freedom Reports, and Trafficking in Persons Reports. UNHCR Refworld documentation. UN OHCHR records. Freedom House, Amnesty International, and Human Rights Watch annual reports. Hundreds of thousands of documents spanning years of coverage across every country.

When an attorney asks about persecution of a specific group in a specific country, the tool searches that corpus using hybrid search, combining semantic understanding of the query with keyword matching across the full text of every document. Results come back with the source name, country, year, and a citation that links directly to the original document.

The attorney can also upload an I-589 asylum application. The tool reads the persecution narrative, identifies each distinct claim (political persecution, family targeting, religious discrimination, fear of torture) and automatically generates targeted queries against the corpus for each claim. The output is an evidence package organized by claim, not by source. Each result cites the original document.

The difference: instead of 15-50 hours of manual searching across 10+ websites, the attorney gets a cited evidence package in minutes. They still review everything: the AI finds the evidence, the attorney evaluates its relevance and strength. But the hours of searching, reading, and compiling are handled.

What this means for asylum practice

The asylum backlog in the United States exceeds six years. Immigration attorneys, particularly solo practitioners and small firms with 2-10 people, are handling more cases with the same staff. The bottleneck isn't legal strategy. It's the time-intensive research and evidence assembly that every case requires.

Country conditions research is the single largest time sink. It's also the most automatable, not because it's simple, but because the sources are defined, the output format is structured, and the quality standard is clear: every claim needs to be cited to a primary source that the attorney can verify and the judge can review.

AI that meets that standard, grounded in primary sources, citing specific documents, producing evidence organized by the client's actual claims, changes the math for asylum practice. The solo practitioner who currently handles 3 asylum cases per month because research takes forever can handle significantly more. Not by cutting corners, but by eliminating the hours spent searching for evidence that exists but is scattered across a dozen websites.

We built this tool because we believe country conditions evidence shouldn't depend on how many hours an attorney has available to search for it. It should depend on whether the evidence exists. And if it does, the attorney should find it.

Learn more about how it works →